COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Simulation in Logistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
LOG 311
Fall
2
2
3
5
Prerequisites
 MATH 280To get a grade of at least FD
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Simulation
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives Teach fundamentals of modeling and simulation for static and dynamic systems, Teach a simulation software (ARENA),Familiarize with applications in logistics management and logistics operations,Provide hands-on experience of both analytical and modeling aspects of simulation,Provide tools for analyzing input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models.
Learning Outcomes The students who succeeded in this course;
  • Student will be able to analyze real life logistics systems.
  • Student will be able to guide business decisions using simulation.
  • Student will be able to evaluate possible outcomes in the business environment using simulation.
  • Student will be able to model and optimize real life logistics systems.
  • Student will be able to use statistical techniques to draw conclusions from observations and experimentation.
Course Description This course aims to teach fundamentals of modeling and simulation with applications in logistics management and logistics operations. Emphasis is placed on hands-on experience of both analytical and modeling aspects of simulation. Analysis topics include input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models. Modeling topics include model construction for static or dynamic systems, issues about level of detail, the simplifying assumptions, model validation and verification using a high-level modeling package.
Related Sustainable Development Goals

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to simulation Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 1)
2 Simulation examples and general principles Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 2)
3 Simulation software introduction to Arena Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 3)
4 Arena Basics Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 3)
5 Review of basic probability and statistics Random numbers and random variates Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 12)
6 Queuing Models Input Data Analysis Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 13)
7 Modeling basic operations and inputs with Arena Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 4)
8 Modeling basic operations and inputs with Arena (continued) Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 4)
9 Modeling basic operations and inputs with Arena (continued) Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 4)
10 Modeling detailed operations with Arena Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 5)
11 Modeling detailed operations with Arena Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 5)
12 Modeling detailed operations with Arena Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 5)
13 Verification and Validation of Simulation Models Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 7)
14 Output Analysis with Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena Details about each assignment will be given to the students at least one week prior to due date.
15 Simulation of Manufacturing and Material Handling Systems Additional Reference BooksDiscreteEvent System Simulation, 4/E, J Banks, J Carson, B L. Nelson, D Nicol, Prentice Hall, 2005.Web Sites Academic Journals
16 Review of the Semester
Course Notes/Textbooks

Assignments and class discussions include assigned cases, academic articles and/or other assignments as well as the accompanying discussion of these assignments in class. Details about each assignment will be given to the students at least one week prior to due date.

Suggested Readings/Materials

Additional reference books. Logistics and Transportation Design and Planning, Kasilingam, Raja G. Operations Research Applications and Algorithms, W. L. Winston Web Sites Academic Journals

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
16
10
Laboratory / Application
16
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
10
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exam
Midterm
1
25
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
1
20
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
16
1
16
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
7
Presentation / Jury
Project
1
21
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
27
    Total
178

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to analyze complex problems in the field of logistics and supply chains

X
2

To be able to have good knowledge of sector related market leaders, professional organizations, and contemporary developments in the logistics sector and supply chains

X
3

To be able to participate in the sector-related communication networks and improve professional competencies within the business sector

X
4

To be able to use necessary software, information and communication technologies in the fields of logistics management and supply chain

X
5

To be able to understand and utilize the coordination mechanisms and supply chain integration

X
6

To be able to analyze the logistics and supply chain processes using the management science perspective and analytical approaches

X
7

To be able to design, plan and model in order to contribute to decision making within the scope of logistics and supply chains

X
8

To be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chains

X
9

To be able to conduct projects and participate in teamwork in the field of logistics and supply chains

X
10

To be able to have an ethical perspective and social responsiveness when making and evaluating decisions.

11

To be able to collect data in the area of logistics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest